This research field focuses on physics-based reconstruction, quantitative characterization, and multi-physics analysis of porous microstructures for advanced material and process design. We develop simulation-driven digital twins of pore-scale structures by integrating particle-based modeling, voxelized image analysis, and AI-assisted optimization frameworks.
Research Topics
DEM-based Microstructure Generation
- Particle packing and calendaring simulation for battery electrodes
- Controlled bimodal and multimodal particle size distribution (PSD) design
- Structure–property relationships under compaction processes
Voxelization & Digital Reconstruction
- Automated voxelization pipelines (DEM → TIFF/VTK workflows)
- Representative Volume Element (RVE) analysis
- Porosity, tortuosity, connectivity, and percolation quantification
Effective Property Estimation
- Effective ionic and electronic conductivity prediction
- Specific surface area and active transport interface evaluation
- Bubble point pressure (BPP) and pore-throat characterization
- Surrogate modeling (Gaussian Process, RSM, Bayesian optimization)
Coupled Multi-Physics in Porous Media
- Flow and heat transfer simulations in complex pore networks
- SPH-based multiphase transport modeling
- Darcy–Forchheimer porous resistance modeling
- Microstructure-informed macro-scale property upscaling
AI–Computational Mechanics Integration
- Surrogate-assisted microstructure optimization
- Multi-objective design under structural constraints
- High-dimensional design space exploration
